Interested in Deep Learning? AlphaGo? TensorFlow? Adversarial networks, and ‘inceptionism’? What about software engineering? Curious about web development, functional programming, or the way teams of engineers automate testing and deployment?
We would like to recruit MIT undergraduate and MEng students with excellent programming skills to implement state-of-the-art machine learning algorithms on various tasks. Hopefully we will jointly develop better understanding of the versatility of intelligence by working on a large number of tasks together as a team. We provide sufficiently large amount of computing resources (e.g., GPUs).
Potential Web Applications projects include but not limited to:
- Distributed platforms and interfaces for ML algorithms
- Interactive research demos for education
- Local machine media device applications
- Experience with git and GitHub
- Experience with HTML/CSS/JS, Haskell, node, or Python
- Interest in visual design
- MIT student
Potential Psychophysics projects include but not limited to:
- mTurk interfaces for remote cognitive sciences experiments
- PsychToolbox visual processing experiments
- Human eye tracking
- Basic cognitive science knowledge
Potential Deep Learning projects include but not limited to:
- Language modeling, machine translation, conversation modeling with Recurrent Neural Networks (RNNs) and Memory Networks
- Question answering and reasoning with Memory Networks
- Visual recognition and segmentation using Convolutional Neural Networks (CNNs)
- Visual question answering with RNNs + CNNs
- Reinforcement learning with games
- Various machine learning challenges (e.g., ILSVRC, Microsoft COCO, WMT, etc.)
- Good programming skills with any of the following languages: Matlab, Python, Lua(Torch7), or CUDA/C++.
- Interest in Machine Learning.
Please send your resume, or github handle, and brief (one or two paragraphs) description of your learning goals to Qianli Liao lql [at] mit.edu.
The Center for Brains Minds and Machines is starting a new experiment. We’re bringing together small teams of MIT undergraduate and graduate students interested in research, engineering and design; to develop projects in a style more like a small company than the typical research lab. We won’t have customers and investors, but we will have synergies between people interested in design, research, and engineering. We will have individual ownership over components, engineering discipline, and practical short-term goals.
Because CBMM is NSF funded, all of our work will be open source, and we will develop portfolios we can be proud of for the next steps in our careers.
To learn more about our research, look at the CBMM website. For more about the CBMM Corps projects, look through what we have here on CBMM @ GitHub. See what Specialist Teams and Projects we have in mind.